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Title: Joint channel estimation and synchronization with inter-carrier interference reduction for OFDM
Authors: Nguyen-Le, H.
Le-Ngoc, T.
Ko, C.C. 
Keywords: Carrier frequency offset
Channel impulse response
Inter-carrier interference (ICI)
Joint channel estimation and synchronization
Orthogonal frequency division multiplexing (OFDM)
Recursive least square (RLS) algorithm
Sampling frequency offset
Issue Date: 2007
Citation: Nguyen-Le, H., Le-Ngoc, T., Ko, C.C. (2007). Joint channel estimation and synchronization with inter-carrier interference reduction for OFDM. IEEE International Conference on Communications : 2841-2846. ScholarBank@NUS Repository.
Abstract: This paper proposes a pilot-aided joint channel estimation and synchronization scheme for burst-mode orthogonal frequency division multiplexing (OFDM) systems. The scheme eliminates the need of an IFFT block while keeping the low number of parameters to be estimated for low complexity without sacrificing the performance and convergence speed. For fast convergence and high performance, we develop a linearized cost function of the carrier frequency offset (CFO), sampling clock frequency offset (SFO) and channel impulse response (CIR) coefficients based on received signal samples and pilot tones in frequency domain and the corresponding recursive least square (RLS) estimation and tracking algorithm. For channel responses, CIR coefficients are estimated to benefit their low number and then transformed to the channel transfer function in order to keep low complexity. The ICI introduced by rotation due to CFO and SFO is analyzed and modeled, and a simple maximum-likelihood (ML) scheme based on the preamble is developed for coarse estimation of initial CFO and SFO values to be used in suppression of dominant ICI effects and in fine RLS estimation and tracking. Simulation results demonstrate that, in large practical ranges of CFO and SFO values, the proposed pilot-aided joint channel estimation and synchronization scheme provides a receiver performance remarkably close to the ideal case of perfect channel estimation and synchronization. © 2007 IEEE.
Source Title: IEEE International Conference on Communications
ISBN: 1424403537
ISSN: 05361486
DOI: 10.1109/ICC.2007.472
Appears in Collections:Staff Publications

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